-
Identification of conclusive association entities in biomedical articles
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LSTMVoter: chemical named entity recognition using a conglomerate of sequence labeling tools
- POS: Patrs of speech tagging
- NER: Named entity recognition
- CMS: Content Management Sysytem
- CaseOLAP: Context-aware Semantic Online Analytical Processing
- SegPhrase+ : Phrase mining Algorithm
- LINE : Large Scale Information Network Embedding
- MCX: Multidimentional Content Exploration
- RepPhrase: Representative Phrase
- Paper: Multidimensional Content eXploration
- Github:
- Paper: Multi-Dimensional, Phrase-Based Summarization in Text Cubes
- OLAP: OLAP from Oracle
- Paper: A Text Cube Approach to Human, Social and Cultural Behavior in the Twitter Stream
- Book: Phrase Mining from Massive Text and Its Applications-17
- Book: Mining Latent Entity Structures-15
- Github:
- Paper: SLING: A framework for frame semantic parsing
- Github: github
- Paper: Automated Phrase Mining from Massive Text Corpora
- Github: github-C++
- Paper: Mining Quality Phrases from Massive Text Corpora
- Talk: Mining Quality Phrases from Massive Text Corpora
- Github: github-C++
- Paper: Scalable Topical Phrase Mining from Text Corpora
- Talk: On the Power of Big Data: Mining Structures from Massive, Unstructured Text Data
- Github: github-1-Python, github-2-Spark
- Paper: LINE: Large-scale Information Network Embedding
- Paper: Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach
- Github: github-C++
- Paper : Online Learning of Social Representations
- Paper: Learning Word Vectors in Deep Walk Using Convolution
- Github: github-Python
- Paper: LifeNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences
- Github: github-JavaScript
- Paper: A neural joint model for entity and relation extraction from biomedical text
- Github: github-C++
- Paper: Structured prediction models for RNN based sequence labeling in clinical text
- Github: github-Python
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Paper: Dimensional Sentiment Analysis Using a Regional CNN-LSTM Model
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Paper: A Deep Neural Architecture for Sentence-level Sentiment Classification in Twitter Social Networking
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Paper: Tensor Fusion Network for Multimodal Sentiment Analysis
- Jiawei Han: Knowledge Discovery and Data Mining, Database Systems
- Course: UIUC CS412: An Introduction to Data Warehousing and Data Mining (Fall 2017)
- Course: UIUC CS512: Data Mining: Principles and Algorithms (Spring 2017)
- Text MIning: Part-1: Phrase Mining & Entity Typing
- Text MIning: Part-2: Embedding, Information Extraction & Text Cube
- Text MIning: Part-3: ?
- Data Visualization
- Text Retrieval and Search Engines
- Text Mining and Analytics
- Pattern Discovery in Data Mining
- Cluster Analysis in Data Mining
- Data Mining Project
- CoNLL 2003 shared task (NER) data
- NHLBI - National Heart Loung, and Blood Institute
- LM-LSTM-CRF-github
- Graphical Model for sequence Modeling
- A sequence labeling approach to link medications and their attributes in clinical notes and clinical trial announcements for information extraction
- LSP - MLP
- Graph-Aware
- Universal Dependencies Tool
- https://nlp.stanford.edu/courses/NAACL2013/NAACL2013-Socher-Manning-DeepLearning.pdf
- http://web.science.mq.edu.au/~mjohnson/papers/Johnson14MLSS-talk.pdf
- http://cse.proj.ac.il/leaders/computationallinguistics.pdf
- http://linguistics.ucla.edu/people/stabler/185-03.pdf
- http://cs.brown.edu/courses/csci2951-k/papers/cl-intro.pdf
- http://stp.lingfil.uu.se/~santinim/sais/ClarkEtAl2010_HandbookNLP.pdf
- https://web.stanford.edu/class/cs124/lec/languagemodeling.pdf
- https://web.stanford.edu/~jurafsky/slp3/4.pdf
- https://homepages.inf.ed.ac.uk/lzhang10/slm.html
- https://arxiv.org/abs/1602.02410 (https://arxiv.org/pdf/1602.02410.pdf)
- https://arxiv.org/pdf/1703.10724.pdf
- http://www.wildml.com/category/language-modeling/
- http://www.wildml.com/2016/01/attention-and-memory-in-deep-learning-and-nlp/
- http://www.cs.cmu.edu/~aberger/lm.html
- http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.128.2969&rep=rep1&type=pdf
- http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=CF0000F3B15F98250611D430D594F3B3?doi=10.1.1.58.4846&rep=rep1&type=pdf
- http://www.cambridge.org/US/academic/subjects/psychology/educational-psychology/automated-evaluation-text-and-discourse-coh-metrix#Ymfgv8mKp0YIQKJg.97
- https://link.springer.com/content/pdf/10.3758%2FBF03195564.pdf
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